Auflistung nach Autor:in "Niessner, Julia"
1 - 1 von 1
Treffer pro Seite
Sortieroptionen
- KonferenzbeitragDesign of a Knowledge-Based Recommender System for Recipes from an End-User Perspective(Mensch und Computer 2021 - Tagungsband, 2021) Niessner, Julia; Ludwig, ThomasNowadays, recommender systems are a fundamental part of several online services. However, most of these systems rely on collective user data and ratings or a preselection of parameters to derive appropriate recommendations. Within this paper, we examine recommendations without previous user data. We therefore designed and evaluated a knowledge-based recommender system by turning to recipe recommendations that offer alternatives for favorite recipes. We introduce and compare three versions of a given algorithm. Our evaluation shows that the knowledge-based approach may serve as a good start for deriving appropriate recommendations without prior user data. Moreover, we show that end-users’ assumptions about decisive criteria of a recommender system do not necessarily match the later actual decisive criteria.